An automated malaria diagnosis system as proposed in [1]} uses object detection module to process the images pre-processed with white balancing techniques, CNNs for feature extraction with gamma-transform color augmentation scheme. This system has implemented field level detection of malaria in a robust manner. This system was built for thick smear slides, thus is only able to detect malaria but not classify the types.
